GONG, Zijun - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
» Student Information System (SIS)» PG Program/Course Catalog
Notes & Links
This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course introduces the fundamentals and advanced topics of statistics that cover multivariate distribution along with dimension-reduction techniques, concentration inequalities, performance metrics for statistical learning, and applications in statistical signal processing, including estimation theory and methods, detection theory and methods, and selected advanced algorithms such as Markov Chain Monte Carlo (MCMC) and expectation maximization (EM), etc.

VECTOR

[3-0-0:3]

DESCRIPTION

This course introduces the fundamentals and advanced topics of statistics that cover multivariate distribution along with dimension-reduction techniques, concentration inequalities, performance metrics for statistical learning, and applications in statistical signal processing, including estimation theory and methods, detection theory and methods, and selected advanced algorithms such as Markov Chain Monte Carlo (MCMC) and expectation maximization (EM), etc.

IOTA 5505 - Statistical Inference for Machine Learning and Signal Processing (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6125)	Tu 06:00PM - 08:50PM	Rm 222, W1	GONG, Zijun XING, Hong	30	10	20	0

COURSE INFO

PRE-REQUISITE	UFUG 1601
DESCRIPTION	This course introduces common data structures and algorithms. Data structures include arrays and matrices, linked lists, stacks, priority queues, hash tables, trees, and graphs. Algorithms include sorting, hashing, searching, greedy methods, divide-and-conquer, dynamic programming, and branch-and-bound. Students will learn Python implementations of these data structures and algorithms, and solve programming problems with learned techniques.

PRE-REQUISITE

UFUG 1601

DESCRIPTION

This course introduces common data structures and algorithms. Data structures include arrays and matrices, linked lists, stacks, priority queues, hash tables, trees, and graphs. Algorithms include sorting, hashing, searching, greedy methods, divide-and-conquer, dynamic programming, and branch-and-bound. Students will learn Python implementations of these data structures and algorithms, and solve programming problems with learned techniques.

UFUG 2602 - Data Structure and Algorithm Design (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L04 (6766)	Mo 03:00PM - 04:20PM	Lecture Hall C	GONG, Zijun	60	59	1	0
L04 (6766)	Fr 10:30AM - 11:50AM	Rm 101, W1	GONG, Zijun	60	59	1	0